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An Efficient Graph Convolutional Network Technique for the Travelling
  Salesman Problem

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

4 June 2019
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
    GNN
ArXivPDFHTML

Papers citing "An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem"

50 / 68 papers shown
Title
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Surina
Amin Mansouri
Lars Quaedvlieg
Amal Seddas
Maryna Viazovska
Emmanuel Abbe
Çağlar Gülçehre
38
1
0
07 Apr 2025
Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous Vehicles
Alexandre Benoit
Pedram Asef
54
1
0
05 Mar 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling
Haoyu Lei
Kaiwen Zhou
Y. Li
Zhitang Chen
Farzan Farnia
DiffM
70
1
0
15 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Yunke Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
101
0
0
07 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Yang Li
Jinpei Guo
Runzhong Wang
H. Zha
Junchi Yan
63
4
0
05 Feb 2025
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
Yongxing Zhang
Donglin Yang
Renjie Liao
DiffM
152
0
0
03 Oct 2024
Learning to Solve Combinatorial Optimization under Positive Linear
  Constraints via Non-Autoregressive Neural Networks
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
Runzhong Wang
Yang Li
Junchi Yan
Xiaokang Yang
AI4CE
44
0
0
06 Sep 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang
Yunhao Zhang
Ziao Guo
Tianyi Chen
Xiaokang Yang
Junchi Yan
32
16
0
18 Jul 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
70
6
0
01 Jun 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
51
6
0
03 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
29
6
0
22 Apr 2024
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
Daisuke Kikuta
Hiroki Ikeuchi
Kengo Tajiri
Yuusuke Nakano
34
1
0
06 Mar 2024
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Jiawei Lu
Tinghan Ye
Wenbo Chen
Pascal Van Hentenryck
AI4TS
38
0
0
08 Jan 2024
GLOP: Learning Global Partition and Local Construction for Solving
  Large-scale Routing Problems in Real-time
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Haoran Ye
Jiarui Wang
Helan Liang
Zhiguang Cao
Yong Li
Fanzhang Li
34
32
0
13 Dec 2023
Solving the Kidney-Exchange Problem via Graph Neural Networks with No
  Supervision
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
P. F. Pimenta
Pedro H. C. Avelar
Luís C. Lamb
25
1
0
19 Apr 2023
ASP: Learn a Universal Neural Solver!
ASP: Learn a Universal Neural Solver!
Chenguang Wang
Zhouliang Yu
Stephen Marcus McAleer
Tianshu Yu
Yao-Chun Yang
AAML
32
24
0
01 Mar 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
33
118
0
16 Feb 2023
Revisit the Algorithm Selection Problem for TSP with Spatial Information
  Enhanced Graph Neural Networks
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks
Yaobo Song
Laurens Bliek
Yingqian Zhang
34
1
0
08 Feb 2023
A Survey on Influence Maximization: From an ML-Based Combinatorial
  Optimization
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
24
38
0
06 Nov 2022
Theory and Approximate Solvers for Branched Optimal Transport with
  Multiple Sources
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Peter Lippmann
Enrique Fita Sanmartín
Fred Hamprecht
OT
19
3
0
14 Oct 2022
Travel the Same Path: A Novel TSP Solving Strategy
Travel the Same Path: A Novel TSP Solving Strategy
Pin Hu
14
0
0
12 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization
  Problems
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
43
78
0
08 Oct 2022
On Representing Linear Programs by Graph Neural Networks
On Representing Linear Programs by Graph Neural Networks
Ziang Chen
Jialin Liu
Xinshang Wang
Jian Lu
W. Yin
AI4CE
60
31
0
25 Sep 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation
  on the Traveling Salesman Problem
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem
Shengcai Liu
Yu Zhang
K. Tang
Xin Yao
65
39
0
22 Sep 2022
Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem
Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem
Siqi Wang
Yifan Wang
G. Tong
24
1
0
20 Sep 2022
Annealed Training for Combinatorial Optimization on Graphs
Annealed Training for Combinatorial Optimization on Graphs
Haoran Sun
E. Guha
H. Dai
22
18
0
23 Jul 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
Simulation-guided Beam Search for Neural Combinatorial Optimization
Jinho Choo
Yeong-Dae Kwon
Jihoon Kim
Jeongwoo Jae
André Hottung
Kevin Tierney
Youngjune Gwon
30
63
0
13 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled
  Objective Relaxation
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Wang
Nan Wu
Hang Yang
Cong Hao
Pan Li
34
29
0
13 Jul 2022
The Neural-Prediction based Acceleration Algorithm of Column Generation
  for Graph-Based Set Covering Problems
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems
Haofeng Yuan
Peng Jiang
Shiji Song
42
6
0
04 Jul 2022
Diffusion models as plug-and-play priors
Diffusion models as plug-and-play priors
Alexandros Graikos
Nikolay Malkin
Nebojsa Jojic
Dimitris Samaras
DiffM
48
218
0
17 Jun 2022
Machine learning-based patient selection in an emergency department
Machine learning-based patient selection in an emergency department
N. Furian
M. O'Sullivan
C. Walker
Melanie Reuter-Oppermann
14
0
0
08 Jun 2022
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic
  vehicle routing problems
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems
Minjun Kim
Junyoung Park
Jinkyoo Park
29
2
0
06 Jun 2022
Learning to Solve Combinatorial Graph Partitioning Problems via
  Efficient Exploration
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
Thomas D. Barrett
Christopher W. F. Parsonson
Alexandre Laterre
26
10
0
27 May 2022
Learning to Solve Vehicle Routing Problems: A Survey
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
29
24
0
05 May 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive
  Curriculum
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum
Zeyang Zhang
Ziwei Zhang
Xin Wang
Wenwu Zhu
26
42
0
07 Apr 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
Ishaan Mehta
Sharareh Taghipour
Sajad Saeedi
27
4
0
02 Mar 2022
Combining Reinforcement Learning and Optimal Transport for the Traveling
  Salesman Problem
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
Yong Liang Goh
W. Lee
Xavier Bresson
T. Laurent
Nicholas Lim
OT
26
9
0
02 Mar 2022
Supervised Permutation Invariant Networks for Solving the CVRP with
  Bounded Fleet Size
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size
Daniela Thyssens
Jonas K. Falkner
Lars Schmidt-Thieme
SSL
19
2
0
05 Jan 2022
Neural combinatorial optimization beyond the TSP: Existing architectures
  under-represent graph structure
Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure
Matteo Boffa
Zied Ben-Houidi
J. Krolikowski
Dario Rossi
GNN
20
7
0
03 Jan 2022
One model Packs Thousands of Items with Recurrent Conditional Query
  Learning
One model Packs Thousands of Items with Recurrent Conditional Query Learning
Dongda Li
Zhaoquan Gu
Yuexuan Wang
Changwei Ren
F. Lau
27
17
0
12 Nov 2021
Graph Neural Network Guided Local Search for the Traveling Salesperson
  Problem
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin H. Hudson
Qingbiao Li
Matthew Malencia
Amanda Prorok
25
63
0
11 Oct 2021
Generalization in Deep RL for TSP Problems via Equivariance and Local
  Search
Generalization in Deep RL for TSP Problems via Equivariance and Local Search
Wenbin Ouyang
Yisen Wang
Paul Weng
Shaochen Han
LRM
69
13
0
07 Oct 2021
Improving Generalization of Deep Reinforcement Learning-based TSP
  Solvers
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers
Wenbin Ouyang
Yisen Wang
Shaochen Han
Zhejian Jin
Paul Weng
LRM
22
11
0
06 Oct 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect
  Collaborative Transformer
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma
Jingwen Li
Zhiguang Cao
Wen Song
Le Zhang
Zhenghua Chen
Jing Tang
83
129
0
06 Oct 2021
Learning Enhanced Optimisation for Routing Problems
Learning Enhanced Optimisation for Routing Problems
N. Sultana
Jeffrey Chan
Tabinda Sarwar
B. Abbasi
•. A. K. Qin
24
3
0
17 Sep 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and
  Transportation Systems: A Survey
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong
Tao Feng
Tong Xia
Depeng Jin
Yong Li
22
3
0
10 Aug 2021
An Overview and Experimental Study of Learning-based Optimization
  Algorithms for Vehicle Routing Problem
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
64
67
0
15 Jul 2021
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
M. Schuetz
J. K. Brubaker
H. Katzgraber
AI4CE
25
177
0
02 Jul 2021
Matrix Encoding Networks for Neural Combinatorial Optimization
Matrix Encoding Networks for Neural Combinatorial Optimization
Yeong-Dae Kwon
Jinho Choo
Iljoo Yoon
Minah Park
Duwon Park
Youngjune Gwon
25
87
0
21 Jun 2021
Scalars are universal: Equivariant machine learning, structured like
  classical physics
Scalars are universal: Equivariant machine learning, structured like classical physics
Soledad Villar
D. Hogg
Kate Storey-Fisher
Weichi Yao
Ben Blum-Smith
PINN
AI4CE
24
130
0
11 Jun 2021
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